The Truth About AI Coding Metrics 📊

Key Takeaways

But like is code churn up bad? Yes. Because what it tends to be is that in a in very high quality code bases, you'll see 3% 4% code churn when they're at scale, right? This is like millions of lines of code. In poor code bases or poorly maintained code bases or early stage companies that are just changing a lot at once, you'll see numbers like 10 or 20%. Now, if you're Atlassian and you have 10% code churn, that's a huge huge problem because that means that you're just wasting so much time. If you're an early stage startup, code churn is less important. This is why we don't really like report that to every team, just enterprises. Any other like measurements are popular that I mean, you know, this is nice that I'm hearing about coturn, but like what else are enterprise VPs of CTLs? What what do they look at for for the enterprise? is I think the biggest thing cuz there's so many tricks and different dances you can do to like justify ROI number of commits like number of commit like lines of code metrics are usually popular and at the end of the day like what we we initially went really hard in all the metric stuff what we found is that often times if they liked it they wouldn't care and if they didn't like it they wouldn't care and so in the at the reality like at the end of the day no one really cares about the metrics what people really care about is like developer sentiment